Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks.

Artificial intelligence ROI considerations in radiology
Rad Partners' Nina Kottler, MD, explains what practices should consider when assessing artificial intelligence solutions in an era where there is little reimbursement.
The impact of Medicare payment cuts on radiology and patient care access
RBMA President Kit Crancer said continued cuts will result in Medicare patients losing access to care when health systems and providers determine it is no longer economical.
Cardiac CT's continued rise on display at RSNA 2023
CCTA has seen rapid adoption and growth over the past two years, and RSNA vendors fed that trend with new product launches.
4 key trends in radiology at RSNA 2023
The rapidly growing shortage of radiologists and technologists was by far the biggest concern discussed across the Radiological Society of North America meeting.
GE HealthCare debuts AI suite for early breast cancer detection
MyBreastAI integrates three AI applications designed to read mammograms and measure breast density.

New-look AI model for imaging results provides its own second opinions

The "dual-view" algorithm is separated into two distinct parts that can learn from one another and catch potential errors.

August 4, 2023

Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.

New scoring systems help grade the accuracy of AI-generated radiology reports

Health systems need to trust that artificial intelligence-based reports are accurate and complete.

August 4, 2023

AI reduces radiologists’ mammography screen-reading workload by 44%

The technology was able to detect about 20% more cancers when compared to standard screening, without impacting false positives.

August 2, 2023

HeartFlow's RoadMap technology where AI reads the image in a first pass to highlight areas of interest with for the radiologist or cardiologist on coronary CT scan. The technology was shown to reduce reading time by 25%.

Three studies show value of AI to speed cardiac CT reads and soft plaque evaluation

AI to help interpret cardiac CT was shown to reduce exam read times to improve workflow efficiency, and improve patient diagnostics with additional information on soft plaques. Data was presented in three HeartFlow AI technology studies at SCCT 2023.

July 31, 2023

Ultrasight's AI to guide echo cardiac ultrasound POCUS exams at ASE 2023. The thumbnail of the chest shows the user how to the position the transducer and where to move or stop for image acquisition. The bar graph shows the quality of the image.

FDA clears new AI to guide point-of-care cardiac ultrasound exams

The FDA approved UltraSight's AI to show ultrasound users how to perform a diagnostic quality cardiac ultrasound exam at the point of care in multiple settings.

July 31, 2023

Big Tech player dives deep into medical imaging with ‘purpose-built’ service

The world’s most popular supplier of cloud services has become a dedicated radiology vendor.

July 31, 2023

artificial intelligence cybersecurity cybercrime patient data privacy

Imaging AI adds value to patient data but also puts it at heightened risk

Healthcare AI continues its march into clinical departments as well as imaging activities. In the process, it’s only multiplying break-and-entry points seductive to cybercriminals.

July 28, 2023